Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
49
datasets available to search
ShareScore release 0.9.0
Dataset results
49 results for “Litter traits”
Data from: Environmental factors and traits that drive plant litter decomposition do not determine home-field advantage effects
The 'home-field advantage' (HFA) hypothesis predicts that plant litter is decomposed faster than expected underneath the plant from which it originates ('home') than underneath other plants ('away'), because decomposer communities are specialized to break down litter from the plants they associate with. However, empirical evidence shows that the occurrence of HFA is highly variable, and the reasons for this are little understood. In our study we progress our understanding by investigating whether HFA is stronger for more recalcitrant litter types and under colder conditions and how soil properties and plant functional traits affect the magnitude and direction of HFA. In subarctic tundra in northern Sweden we set up a reciprocal transplant litter decomposition experiment along an elevational gradient where three highly contrasting vegetation types (heath, meadow and Salix) occur at all elevations, and where temperature decreases strongly with elevation. In this study, we used a litter bag approach where litters from each elevation × vegetation type combination were decomposed in all combinations of elevation × vegetation type. We also measured community-level plant functional traits, such as leaf and litter nutrient content. We determined soil biotic and abiotic properties, such as microbial biomass and soil nutrient content, in soil cores collected for each elevation × vegetation type combination. We found that mass loss increased with plant and litter nutrient content and with soil temperature. In contrast, the occurrence of HFA was limited in our study system, and its magnitude and direction could not be explained by vegetation type, elevation, plant traits or soil properties, despite these factors serving as powerful drivers of litter mass loss in our study. We conclude that although vegetation type and climate are major drivers of litter mass loss, they do not emerge as important determinants of HFA. Therefore, while rapid shifts in plant community composition or temperature due to global change are likely to influence litter mass loss directly by altering environmental conditions, plant trait spectra and litter quality, indirect effects of global change resulting from decoupling of specialist interactions between litter and decomposer communities appears to be of less importance.
Data from: Determinants of litter decomposition rates in a tropical forest: functional traits, phylogeny and ecological succession
Open the record for dataset details and reuse information.
Data from: Traits including leaf dry matter content and leaf pH dominate over forest soil pH as drivers of litter decomposition among 60 species
Open the record for dataset details and reuse information.
Data from: Exotic or not, leaf trait dissimilarity modulates the effect of dominant species on mixed litter decomposition
Open the record for dataset details and reuse information.
Data from: Leaf litter traits predominantly control litter decomposition in streams worldwide
Open the record for dataset details and reuse information.
Data from: Tree leaf and root traits mediate soil faunal contribution to litter decomposition across an elevational gradient
Open the record for dataset details and reuse information.
Data from: Initial colonization, community assembly, and ecosystem function: fungal colonist traits and litter biochemistry mediate decay rate
Open the record for dataset details and reuse information.
Data from: Environmental factors and traits that drive plant litter decomposition do not determine home-field advantage effects
Open the record for dataset details and reuse information.
Data for plant aggregation explained by litter traits and litter decomposition
<p>Dataset used in the article "After-life traits and interactions among decomposing litters control during-life aggregation of plant species" in Functional Ecology</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.